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证件照片的特征提取与检索 被引量：4

Feature Extraction and Retrieval of Personal ID Photo
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摘要 研究描述人脸特征的有效方法,讨论身份证照片的特征提取和检索.采用自适应肤色检测技术改进通用的肤色检测算法,进行脸部区域的划分.提出 DCT 系数投影法对面部五官区域进行分割,在各区域中提取面部几何特征.引入描述脸颊和下颔轮廓的曲线参数作为脸形特征,得到对人脸特征更准确的描述.将面部几何特征矢量匹配、脸形曲线参数匹配和脸部图像相关匹配相结合,实现人像照片的准确检索.实验表明该方法性能优良. Feature extraction from ID photos is discussed to retrieve subjects in ID photo database. By an adaptive threshold, a general skin color detection algorithm is modified for face region segmentation. The extracted face region is then segmented into individual organs by using the proposed projection DCT coefficients. Thus organ feature points are obtained. To improve the face description ability, the parameters of cheek profile are added to feature set by polynomial curve fitting. A photo retrieval system is implemented using the described methods and satisfactory results are acquired.
作者 朱秋煜 黄素娟 王朔中
机构地区 上海大学通信与信息工程学院
出处 《模式识别与人工智能》 EI CSCD 北大核心 2007年第4期545-551,共7页 Pattern Recognition and Artificial Intelligence
关键词 图像检索 肤色检测 特征提取 脸形 Image Retrieval, Skin Color Detection, Feature Extraction, Face Profile
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献15

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共引文献120

同被引文献17

  • 1魏冬冬,谌海新,聂铁铸.人脸特征提取与识别技术研究[J].计算机与现代化,2007(3):69-72. 被引量：8
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  • 3肖发远.证件照片的脸部对象分割与检索研究.上海:上海大学,2005:1-9.
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引证文献4

二级引证文献9

模式识别与人工智能
2007年 第4期

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